> For the complete documentation index, see [llms.txt](https://graphai-1.gitbook.io/graphai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://graphai-1.gitbook.io/graphai/what-is-graphai/abstract.md).

# Abstract

The worlds of on-chain finance and real world assets (RWA) are starting to converge. Advances in AI have birthed a thriving DeFAI sector where AI models and decentralized agents allow for the execution of seamless on-chain autonomous trading strategies. Simultaneously, RWAs are increasingly emerging as a robust source of yield within the DeFAI industry, with the RWA sector forecasted to grow to $30 trillion by 2030. The worlds of on-chain finance and real world assets (RWA) are starting to converge.

The Blockchain Open RAG Graph (GraphAI) introduces a revolutionary approach to blockchain data utilization, enabling developers and users to create powerful AI-driven decentralized applications (dApps). By indexing both historic and dynamic blockchain data, GraphAI facilitates the creation of customized sub-indexes stored in vector databases (Knowledge Graphs). These knowledge graphs act as extensions to LLMs access to contextual and blockchain-specific information to formulate scalable web3 applications. 

This innovation opens up new possibilities for leveraging blockchain data in AI and machine learning applications.

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